中国互联网医院的服务质量与患者满意度:服务质量问卷的横断面评估

IF 5.8 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Journal of Medical Internet Research Pub Date : 2024-11-08 DOI:10.2196/55140
Tao Han, Qinpeng Wei, Ruike Wang, Yijin Cai, Hongyi Zhu, Jiani Chen, Zhiruo Zhang, Sisi Li
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引用次数: 0

摘要

背景:互联网医院是指基于医院实体,集问诊、开方、支付、送药于一体的服务平台,自2014年以来在中国快速发展。然而,有关其服务质量和患者满意度的评估却并不完善。全面评估和提高互联网医院的服务质量迫在眉睫:本研究旨在调查患者使用互联网医院的现状,以及对互联网医院的熟悉程度和使用意愿,使用中文版服务质量问卷(SERVQUAL-C)评估患者对互联网医院服务质量的期望和感知,并探讨互联网医院服务质量与患者对相关医疗平台总体满意度之间的关联:这项横断面调查于 2022 年 6 月至 9 月通过面对面或数字访谈的方式进行。共有 1481 名门诊参与者(男性 635 人,女性 846 人;平均年龄 33.22 岁,SD 13.22)。参与者报告了他们对互联网医院的使用情况,然后通过 SERVQUAL-C 对他们对互联网医院服务质量的期望和感知进行评分,并提供了他们的人口统计学信息:在接受调查的参与者中,51.2%(n=758)的人使用过互联网医院服务。使用情况因年龄、教育程度和年收入而异。虽然大多数参与者(826 人,55.8%)对互联网医院服务不甚了解,但仍有 68.1%(1009 人)的参与者表示愿意采用这一服务。服务质量评估结果显示,感知到的服务质量与期望值不符,尤其是响应性维度。重要绩效分析结果进一步表明,可靠的诊断、及时的响应、清晰的反馈途径和积极的反馈处理是有待大幅改进的典型服务。更重要的是,多重线性回归结果显示,熟悉程度和使用互联网医院服务的意愿是满意度的重要预测因素,高于且超过了有形性、可靠性和移情服务视角,以及性别、年龄、教育水平和年收入等人口统计学特征:未来,互联网医院应更加关注如何缩小预期服务质量与感知服务质量之间的差距。结论:未来,互联网医院应更加关注如何缩小预期服务质量与感知服务质量之间的差距,同时应促进互联网医院的推广,以提高患者对这些服务的熟悉程度和使用意愿。
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Service Quality and Patient Satisfaction of Internet Hospitals in China: Cross-Sectional Evaluation With the Service Quality Questionnaire.

Background: Internet hospitals, which refer to service platforms that integrate consultation, prescription, payment, and drug delivery based on hospital entities, have been developing at a rapid pace in China since 2014. However, assessments regarding their service quality and patient satisfaction have not been well developed. There is an urgent need to comprehensively evaluate and improve the service quality of internet hospitals.

Objective: This study aims to investigate the current status of patients' use of internet hospitals, as well as familiarity and willingness to use internet hospitals, to evaluate patients' expected and perceived service qualities of internet hospitals using the Chinese version of the Service Quality Questionnaire (SERVQUAL-C) with a national representative sample, and to explore the association between service quality of internet hospitals and patients' overall satisfaction toward associated medical platforms.

Methods: This cross-sectional survey was conducted through face-to-face or digital interviews from June to September 2022. A total of 1481 outpatient participants (635 men and 846 women; mean age 33.22, SD 13.22). Participants reported their use of internet hospitals, and then rated their expectations and perceptions of service quality toward internet hospitals via the SERVQUAL-C, along with their demographic information.

Results: Among the surveyed participants, 51.2% (n=758) of participants had used internet hospital service or services. Use varied across age, education level, and annual income. Although the majority of them (n=826, 55.8%) did not know internet hospital services well, 68.1% (n=1009) of participants expressed the willingness to adopt this service. Service quality evaluation revealed that the perceived service quality did not match with the expectation, especially the responsiveness dimension. Important-performance analysis results further alerted that reliable diagnosis, prompt response, clear feedback pathway, and active feedback handling were typically the services awaiting substantial improvement. More importantly, multiple linear regressions revealed that familiarity and willingness to use internet hospital services were significant predictors of satisfaction, above and over tangibles, reliability, and empathy service perspectives, and demographic characteristics such as gender, age, education level, and annual income.

Conclusions: In the future, internet hospitals should focus more on how to narrow the gaps between the expected and perceived service quality. Promotion of internet hospitals should also be facilitated to increase patients' familiarity with and willingness to use these services.

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来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
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